Customer story
Paid Search · Landing Page Personalization
The gap between the ad and the page was costing everything.
Livspace ran highly targeted paid search ads — specific keywords, specific audiences, specific creative. But every visitor, regardless of what they searched, landed on exactly the same generic page. Fibr gave every keyword its own matched experience. The result: 40% more leads from the same spend.
Company Overview
Livspace, at a glance
India's largest omni-channel home interiors & renovation platform, connecting homeowners with certified designers, vendors, and manufacturers through a single end-to-end platform covering everything from first design consultation through to last-mile project delivery.
The campaign in focus was a paid-search programme covering home-type queries, locality searches, budget-conscious intent, and broader brand keywords — each representing a different visitor intent at a different stage of the decision process.
The Challenge
Every keyword was targeted. The landing page wasn't.
Livspace's performance campaigns were built with precision — specific creative and audience targeting designed to reach homeowners at the exact moment of search intent. But regardless of the keyword or ad, every single visitor landed on the same generic page: "Interior Designers in Hyderabad," a generic CTA, no reference to locality, flat type, or budget.
Every keyword we were running was specific to a person in a specific part of the city with a specific kind of home. But they all walked through the same door and saw the same thing. We were spending on high intent traffic but the landing page wasn't converting.
Abhishek Bhushan
Senior Manager, Performance Marketing, Livspace
The Solution
One URL. Infinite matched experiences.
Fibr approached the fix in four deliberate steps — starting with data, moving through strategy and architecture, and ending with execution at scale. Every step is documented below, exactly as it happened.
Step 1
The Analysis — making the gap visible
When Livspace connected their Google Ads account to Fibr, the gaps between campaign and landing page became visible for the first time. Low quality scores on hyper-local searches. CTRs below benchmarks. Cost metrics compounding through the funnel. Fibr's Managed Service team then added psychological and competitor analysis — building a clear brief for what each visitor type expected, and in what order.
Step 2
The Cohorts — three intents, three distinct experiences
Fibr's Agent resolved the entire keyword set into three distinct visitor cohorts, each with a different decision to make: the local-proof validator (locality searches), the options evaluator (home-type and general intent), and the ROI-first buyer (budget and affordability searches).
Step 3
The Setup — fixing two structural conversion killers
Data revealed two problems the ad metrics alone couldn't catch. Problem 1: Page depth — sections built for organic browsers were creating exit points for paid visitors. Problem 2: CTA overload — multiple competing calls-to-action created noise instead of clarity. The harder the page tried to convert everyone, the less it converted anyone.
Step 4
The Creation — every keyword with its matched page, in minutes
Every variant was generated from Livspace's own brand guidelines, competitor positioning, and keyword context — no engineering team required. Each page was pre-reviewed for brand accuracy, hallucinations, compliance, and copy quality. Final sign-off was about making decisions, not correcting errors. Every matched experience loaded without visual flicker, personalised from the very first frame.
One URL, Infinite Experiences
The same URL. A different page for every visitor.
The same landing page URL now shows a completely different experience to every visitor — based on exactly what they searched for. A 2BHK budget searcher sees budget-first messaging. A 3BHK searcher sees home-type-matched content. A HiTech City searcher sees hyper-local proof.
The Results
The shift landed where budget decisions get made.
Results measured against the control (original landing page) across the same paid search spend, tracked from September through November.
The cost per lead (MQL) fell 15% on the variant. Cost per qualified meeting dropped 32%. Time on page moved from 48s to 69s — a 44% uplift — while bounce rate fell 13% across the campaign. Visitors reaching a qualified sales meeting doubled versus the control.
Key Insights
What this teaches us about high-intent paid search.
Insight 01
↑73%
Contextual CTAs convert. Generic ones create work.
When the CTA speaks to what the visitor came looking for, the friction of deciding what to do next disappears. Session-to-lead conversion lifted 73% when every CTA was matched to search intent.
Insight 02
↑44%
Less on the page meant more time spent on it.
Paid search visitors aren't browsing — they arrive knowing what they want. Every irrelevant section is a reason to leave, not a reason to stay. Engagement rose 44% and bounce fell 13%.
Insight 03
2×
What convinces one visitor might lose another.
A budget visitor and a premium visitor are making different financial decisions. A page applying identical persuasion logic gets the argument wrong for at least half its audience. Segmentation doubled SQL reach.
Let’s build 1000s of landing pages in under 30 minutes for you
Delaware, USA
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